Modern smartphones give raise to novel application and service types by way of their increasingly extensive sensing and data analysis capabilities.  A major limitation for such mobile apps and services is the device's battery power. 

In this talk we first discuss means for improving the energy-efficiency of sensing-intensive mobile services. Specifically, we focus on profiling and modeling the power consumption on smartphones and their component as a means to predict the user's device battery lifetime, and also to enable users and applications to make informed trade-offs between battery lifetime and quality of service. Furthermore, we show that understanding and modeling individual smartphone makes' power consumption  is crucial to tweak the energy-efficiency of sensing-intensive mobile services, such as position tracking and place detection.

In the second part of the talk we focus on an emerging application area for sensing-intensive mobile services, namely green accounting and eco-profiling. Specifically, we present ideas and challenges  in utilizing mobile sensing services, such as transportation mode and event detection, to record, analyze and reason about the eco-behaviour of citizen and employees, on a company and city level.